Ghazala Jamal

Backend Engineer

Bengaluru, Karnataka, India2 yrs experience

Key Highlights

Designed 15+ automated backend workflows.
Reduced manual effort by 60% through automation.
AWS Certified with a focus on cloud-native applications.

Stackforce AI infers this person is a Backend Developer specializing in cloud-native applications and enterprise automation.

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Skills

Core Skills

Backend DevelopmentCloud DevelopmentDatabase Management

Other Skills

API orchestrationMongoDBNode.jsDockerKubernetesAWSDatabase optimizationWeb Services APIJavaScript FrameworksSoftware DeploymentRegistrationAnomaly DetectionGitHubSoftware DesignContinuous Integration and Continuous Delivery (CI/CD)

About

I build backend systems that scale and automate real business workflows. At DataNimbus, I work on designing and deploying cloud-native applications, building API orchestration workflows, optimizing MongoDB aggregations, and managing Kubernetes-based deployments. My work focuses on reducing manual effort through automation and improving system reliability for enterprise clients. Over the last 2 years, I’ve grown from learning basic backend development to handling end-to-end service workflows involving Node.js, Docker, Kubernetes, AWS, and MongoDB. I enjoy solving backend engineering problems, improving system performance, and building scalable APIs that are production-ready. AWS Certified. Continuously learning system design, DevOps, and AI-powered integrations. Open to Backend / Full-Stack Software Engineering opportunities in product-driven teams.

Experience

2 yrs

Total Experience

2 yrs

Average Tenure

2 yrs

Current Experience

Datanimbus

Software Developer

Jun 2024 – Present · 2 yrs

Designed and implemented 15+ end-to-end DataPipes workflows involving API orchestration, validation logic, conditional execution, and database integrations for enterprise automation use cases.
Automated backend workflows, reducing manual operational effort by ~60% and improving overall process efficiency.
Optimized MongoDB aggregation pipelines and indexing strategies, reducing query response latency by ~35% for reporting and analytical workloads.
Built and maintained scalable REST APIs and backend services using Node.js and MongoDB for enterprise-grade applications.
Deployed and monitored containerized microservices using Docker and Kubernetes, contributing to reliable cloud-native deployments and improved deployment efficiency.
Collaborated with cross-functional product and business teams to deliver scalable backend solutions aligned with client requirements and production reliability standards.

API orchestrationMongoDBNode.jsDockerKubernetesAWS+2